CN-122000916-A - Inter-province mutual-aid optimizing method based on bidirectional TTC computing constraint

CN122000916ACN 122000916 ACN122000916 ACN 122000916ACN-122000916-A

Abstract

The invention relates to the field of electric power markets, and discloses an inter-provincial mutual-aid optimizing method based on bidirectional TTC calculation constraint, which comprises the steps of constructing an intra-provincial clear transaction model for pre-clearing an intra-provincial electric power market; the method comprises the steps of constructing an inter-province power trading model, carrying out inter-province centralized bidding clearing to obtain an inter-province trading plan and key section power distribution, inputting a pre-clearing operation mode as an initial operation state into a TTC calculation model, calculating dynamic transmission limits of a key section in the forward power transmission direction and the reverse power transmission direction, feeding back a calculated bidirectional TTC value as transmission capacity constraint of the transmission section into the inter-province power trading model, carrying out inter-province clearing and intra-province clearing again to obtain an updated pre-clearing operation mode, carrying out iterative calculation until errors between TTC values obtained by two times of calculation before and after are smaller than a set threshold, and outputting the inter-province trading plan at the moment as a final optimization result. The invention has the advantage of effectively solving the complex stability problem caused by coupling of the extra-high voltage direct current and the strong alternating current looped network.

Inventors

YANG YANG
WEN XU
ZHOU QUAN
FAN DONG
LUO BAOSONG
WU YUQUAN
ZHOU SIYUAN
WANG YINGQIAO
MAO RUI

Assignees

国家电网有限公司西南分部

Dates

Publication Date: 20260508
Application Date: 20251217

Claims (7)

1. A method for optimizing inter-province mutual aid based on bidirectional TTC calculation constraint is characterized by comprising the following steps of, S1, constructing an provincial clear transaction model based on power grid topology, unit parameters, loads and new energy forecast data to perform provincial power market clear, so as to obtain surplus or deficit power information after provincial unit combination, output plan and provincial balance; S2, constructing an inter-provincial power transaction model according to the surplus or shortage power information of each province, and taking the maximization of the total system price difference as a target, and taking account of quotations, transmission prices and network losses of buyers and sellers, performing inter-provincial centralized bidding and clearing to obtain a preliminary inter-provincial transaction plan and key section power distribution as a pre-clearing running mode; S3, inputting the pre-clearing running mode as an initial running state into a TTC calculation model for calculating the bidirectional total power transmission capacity of the extra-high voltage DC output/input AC/DC series-parallel power grid, and respectively calculating dynamic power transmission limits of the key section in the forward power transmission direction and the reverse power transmission direction; S4, feeding the calculated bidirectional TTC value back to the inter-provincial power transaction model as transmission section transmission capacity constraint, and carrying out inter-provincial clear and intra-provincial clear again to obtain an updated pre-clear running mode; s5, repeating the step S3 and the step S4 until the error between TTC values obtained by two times of calculation is smaller than a set threshold value, and outputting the provincial transaction plan and the section power transmission limit at the moment as final optimization results.
2. The method for optimizing inter-province mutual aid based on bi-directional TTC calculation constraint of claim 1, wherein the objective function of the province clear transaction model is: ; in the formula, And The variable of the start-stop cost of the unit and the variable of the output cost of the unit are respectively; And The method comprises the steps of respectively obtaining a unit start-stop constraint constant matrix and a unit output constraint constant matrix; is the right constraint vector; 01 variable in the unit combination; is a continuous variable in the combination of the units.
3. The method for optimizing inter-provincial mutual aid based on bi-directional TTC calculation constraint of claim 1, wherein the objective function of the inter-provincial power transaction model is: ; in the formula, Is an objective function; The total electricity purchasing cost of the electricity purchasing main body; total electricity sales revenue for the power generation entity; Penalty cost for violating dc nodes; Is a node Main body for purchasing electricity At the position of Time of day volume; Is a node Main body for purchasing electricity At the position of Reporting price at moment; Is a node Power generation main body At the position of Time of day volume; Is a node Power generation main body At the position of Reporting price at moment; Is a node Upper DC channel is at The transmission power at the moment in time, Node Contractual provision of DC channels on Transmission power at the moment; Punishing prices for violations; The method comprises the steps of collecting all electricity purchasing main bodies; Collecting all power generation main bodies; Is a set of power generation bodies capable of participating in direct current channel power transmission.
4. The method for inter-provincial mutual aid optimization based on bi-directional TTC calculation constraint of claim 3, wherein the constraint condition of the inter-provincial power transaction model comprises, Shen Baoliang constraint: ; in the formula, Is in the main body of the buyer Maximum load at time; Is subject to the seller Maximum output capability at a moment; Is subject to the seller A moment pre-clearing force; And (5) traffic constraint: ; in the formula, To purchase electricity main body At the position of Time electricity purchasing reporting quantity; Is a main body of power generation At the position of Time-of-day electricity selling Shen Baoliang; unit output constraint: ; in the formula, Is a generator set Upper active power limit of (2); Is a generator set Lower active power limit of (2); Is a generator set An upper reactive power limit of (2); Is a generator set Lower reactive power limit of (2); Is a generator set Active power at time t; Is a generator set Reactive power at time t; And (3) unit climbing constraint: ; in the formula, Is a generator set Maximum uphill power; Is a generator set Maximum downhill climbing power; node power balancing constraints: ; in the formula, For a set of all the nodes, Is a node Connected and out-flowing node Is a set of channels; Is a node Connected and flowing into node Is a set of channels; Is a channel At the position of A power output value at a time; Is a channel At the position of A power acceptance value at a moment; Transmission upper limit constraint of transmission line: ; in the formula, To save effort Province and province Transmission capacity of cross section of the interconnecting line; To save effort Province and province TTC value between; Electric quantity distribution rule: ; in the formula, Generating set The electricity selling and distributing quantity at the time t, To purchase electricity main body At the position of The electricity purchasing and distributing quantity at the moment is For a pair number of transactions with the same price difference and the same vendor entity, The transaction pairs are the same price difference and the same buyer body; Dc out/in penalty constraint: ; in the formula, 、 The DC power transmission fluctuation factor is used under different working conditions; direct current power for sending specified for medium-long term contract; direct current power input specified for medium-and-long-term contracts;
5. the method for inter-provincial mutual-aid optimization based on bi-directional TTC calculation constraint of claim 1, wherein the objective function of the TTC calculation model is: ; in the formula, Province and province And province The transmission power of each line included in the key section.
6. The method for inter-provincial mutual-aid optimization based on bi-directional TTC calculation constraints of claim 5, wherein the constraints of the TTC calculation model include: checking N-1: ; in the formula, 、 Respectively elements Control variables and state variables of the system when a fault occurs; Node active power balancing constraint: ; ; in the formula, Is a node The generator outputs active power; Is a node An active load; is an AC/DC series-parallel node The generator outputs active power; is an AC/DC series-parallel node An active load; Is a node A voltage amplitude; Is a node A voltage amplitude; Is a node 、 Admittance magnitude between; Is a node A voltage phase angle; Is a node A voltage phase angle; Is a node 、 Admittance phase angle therebetween; is an AC/DC series-parallel node A voltage amplitude; Is a node 、 Admittance magnitude between; is an AC/DC series-parallel node A voltage phase angle; Is a node 、 Admittance phase angle therebetween; A rectifier voltage on the dc side; inverter voltage at dc side; The current of the direct current line; A transformation ratio of a rectifier side transformer; The transformation ratio of the inverter-side transformer; The voltage amplitude of the converter is; The phase change angle of the rectifier is obtained; Is the arc extinction angle of the inverter; a transformer reactance on the rectifier side; a transformer reactance on the inverter side; The direct current channel transmits electric energy outwards when the converter station works in a rectifying state; the direct current channel receives electric energy from the outside when the converter station works in an inversion state; 、 In the case of a conventional ac node, Is a special alternating current node connected with the direct current node; Node reactive power balance constraint: ; ; in the formula, Is a node The generator outputs reactive power; Is a node Injecting power into the reactive compensation device; Is a node Reactive load; Is a node The generator outputs reactive power; Is a node Injecting power into the reactive compensation device; Is a node Reactive load; A power factor angle for the rectifier side; A power factor angle at the inverter side; Node voltage constraint: ; in the formula, Is a set of all nodes; The node voltage amplitude; 、 respectively a lower limit and an upper limit of the node voltage amplitude; active power constraint of generator: ; in the formula, A set of all generators; The active power of the generator set on the node i; 、 the lower limit and the upper limit of the active power of the generator set on the node i are set; Reactive power constraint of the generator: ; in the formula, Reactive power of the generator set on the node i; 、 The lower limit and the upper limit of the reactive power of the generator set on the node i are respectively set; Line thermal stability constraints: ; in the formula, Is a bus bar Is set to be a current of (a); Is a bus bar An upper current magnitude limit of (2); bus voltage constraint: ; in the formula, 、 Respectively are bus bars A lower limit and an upper limit of the voltage amplitude.
7. The method for inter-provincial mutual-aid optimization based on bi-directional TTC calculation constraint of claim 5, wherein the method is characterized in that a particle swarm algorithm is adopted to carry out joint solution on a model, and a particle update formula is as follows: ; in the formula, First, the Individual particles are at Speed of time; First, the Individual particles are at Speed of time; Is an inertial weight; learning factors for an individual; is a social learning factor; 、 Is a random number; Is the first Historical optimal positions of individual particles; A historical optimal location for the first population of particles; First, the Individual particles are at The position of the moment; First, the Individual particles are at The location of the moment.

Description

Inter-province mutual-aid optimizing method based on bidirectional TTC computing constraint Technical Field The invention relates to the field of electric power markets, in particular to a provincial mutual-aid optimization method based on bidirectional TTC calculation constraint. Background The energy structure is accelerating transformation in the direction of diversification and cleaning. Taking southwest power grid as an example, the power supply of the southwest power grid forms a pattern which is developed from traditional water power to water, wind, light and fire energy. In particular to the planning construction of extra-high voltage direct current engineering such as Yu, long electric power supply, chuan and the like, and the large-scale northwest wind-solar new energy is injected into southwest, so that the energy supply system is further enriched. Many key direct current channels adopt a grid converter type high-voltage direct current transmission (LCC-HVDC) technology, can realize direct current transmission/reception, and provide an efficient channel for electric energy transmission. In order to accept large-scale electric energy transmission, the power grid architecture is synchronously upgraded, the voltage level of the regional power grid is being increased from the 500 kilovolt level to the extra-high voltage level, and a large-scale alternating current/direct current hybrid complex novel network is formed. The evolution improves the capacity of the cross-region configuration of the resources, simultaneously makes the operation characteristics and the stable form of the power grid become unprecedented complex, and presents unprecedented challenges for the balance capacity of the system. Under the new pattern, inter-provincial mutual aid taking direct current output/input into account has become a core support for guaranteeing the safety of a power grid and promoting energy consumption. Wherein, the sending/receiving of the direct current channel electric energy plays a key role. On one hand, the inter-province mutual aid can provide wider absorption space for flexible resources such as wind power and photovoltaic with strong volatility, meanwhile, a local unit can also supply power for an external province, when the capability of a local new energy absorption/power generation unit is insufficient, surplus power can be transmitted to neighbouring province, the local wind-discarding light-emitting rate is obviously reduced, surplus power support is provided for the external province, on the other hand, when the capability of the local power supply is insufficient, the direct-current channel can realize the return or the return of electric energy, in addition, the mutual aid can effectively improve the overall energy-saving capability, and when the extreme weather or the local power supply is in shortage, the local energy-saving device can realize rapid support through a strong connecting line to cooperatively cope with unbalance of supply and demand. However, the increasingly severe pressure of conservation and the extremely strong uncertainty of new energy sources place higher demands on the flexibility, reliability and economy of the mutual aid. Currently, conventional inter-provincial transaction and section safety management modes have difficulty fully adapting to the dynamic characteristics of new power systems. The core limitation is that the management of the section power transmission quota is often dependent on the quota, namely, a fixed value is calculated offline based on a typical or extreme operation mode. The static mode fails to consider the change of the actual running mode of the power grid, and ignores the real power transmission capacity of the section, and the real power transmission capacity is strongly dependent on dynamic factors such as a real-time starting mode, power flow distribution and the like. The calculation of the fixed quota is often too conservative, limiting the channel potential and causing resource waste. In addition, the extra-high voltage direct current is used as a high-efficiency trans-regional electric energy transmission channel, the trans-regional resource allocation scale is greatly improved, the operation characteristics of a regional power grid are also deeply changed, the extra-high voltage direct current is not a single energy transmission or reception channel, but is evolved into a key infrastructure capable of realizing trans-regional and high-capacity electric energy bidirectional flexible exchange, and an alternating current-direct current hybrid system with strong bidirectional power regulation capacity in the space-time dimension is formed together with an alternating current system. The characteristic greatly improves the mutual aid capability of the power grid between areas, but also makes the power distribution and stability characteristics in the system more complex, and puts forward unprecedented high requirements on accurate sensi