CN105069539A - Electricity selling company day-ahead optimal dispatching method for adjustable loads and distributed power sources - Google Patents

Abstract

The invention provides an electricity selling company day-ahead optimal dispatching method for adjustable loads and distributed power sources. The method comprises the steps of firstly dividing adjustable loads in a power distribution network into direct control loads and interruptible loads according to the load characteristics; secondly, with electricity selling company day-ahead operation income maximization being the optimal dispatching target, performing electricity selling company day-ahead optimal dispatching according to the operation constraint characteristics of both kinds of the adjustable loads, the operation constraint characteristics of distributed power sources, day-ahead power market electricity purchasing constraint and active power distribution network power balance constraint. The technical solution can realize electricity selling company day-ahead optimal dispatching for the adjustable loads and distributed power sources in the electricity market environments, and, while meeting the power supply requirement of users and guaranteeing the degree of satisfaction, perform peak load shifting to reduce the operating pressure of power grids. Thus, the operating cost of electricity selling companies is reduced and the electricity selling company day-ahead operation income is maximized.

Description

Containing the sale of electricity company Optimization Scheduling a few days ago of deferrable load and distributed power source

Technical field

The present invention relates to the Optimized Operation field of sale of electricity company, more specifically relate to a kind of sale of electricity company Optimization Scheduling a few days ago containing deferrable load and distributed power source.

Background technology

Direct control overhead refers to that sale of electricity company to be closed by remote control or the consumer of cycle control user in system loading peak period, direct control overhead-as be applicable to resident and small business users, and power failure in short-term affects little on the power supply quality of the controllable load participated in, be generally the load with thermal energy storage ability, such as air-conditioning and water heater etc.; The user participated in can obtain certain interruption and compensate, and direct control overhead is a kind of simple and practical dsm means, has obtained successful enforcement at home and abroad.

Interruptable-Load Management signs interruptible load contract by Utilities Electric Co. and user exactly, in POWER SYSTEM EMERGENCY situation, the electric power supply to user is interrupted in Utilities Electric Co., but give the important component part of the certain economic compensation of user as electric system dsm, Interruptable-Load Management utilizes the electricity consumption dirigibility of user, alleviate power shortage situation during load peak, increase and the electricity generation investment of needs to avoid or to reduce expensive spinning reserve and meet need for electricity, be conducive to the safety and economic operation of electric system, weaken the impact of market presence in electricity market, to control price spike.

In recent years, under the impact of the strategy of sustainable development, environment worsens and energy shortage attracts people's attention gradually, and distributed power source is paid close attention to because it to the friendly of environment, is subject to people gradually.In addition, along with the continuous quickening of electricity marketization process, not only the requirement of user to the quality of power supply and electricity consumption reliability improves constantly, and the growth of electrical energy demands is very rapid, and oneself is through far away higher than the growth rate of plan.Therefore, in order to ever-increasing electricity needs in satisfied future, distributed power source, as reproducible green energy resource, shows the application prospect of its light gradually

Summary of the invention

Technical matters: technical matters to be solved by this invention is: a kind of sale of electricity company Optimization Scheduling a few days ago containing deferrable load and distributed power source is provided, the method can realize sale of electricity company to access deferrable load wherein and effective scheduling of distributed power source, effectively can reduce the operating cost of sale of electricity company, improve the security and stability of system cloud gray model.

Technical scheme: the sale of electricity company Optimization Scheduling a few days ago containing deferrable load and distributed power source of the present invention, comprises the steps:

Step 1) deferrable load in power distribution network is divided into direct control overhead, interruptible load two class according to part throttle characteristics;

Step 2) run income with sale of electricity company a few days ago and be Optimized Operation target to the maximum, with direct control overhead, interruptible load, distributed power source for Optimized Operation object, be constrained to constraint condition carry out Optimized Operation a few days ago with maximum control count constraint, maximum continuous controllable period of time constraint, the constraint of minimum continuous operating time, interruptible load constraint, the constraint of distributed power source units limits, distributed power source Climing constant, Day-ahead electricity market power purchase, active power distribution network power-balance.

Further, in the inventive method, described sale of electricity company runs the maximum Optimized Operation target of income a few days ago and is:

$\begin{array}{c}{C}^{DA}=\mathrm{\Δ}\{\underset{t=1}{\overset{T}{\Σ}}{\mathrm{\ρ}}_{s.t}^{DA}{P}_{s.t}^{DA}-\underset{t=1}{\overset{T}{\Σ}}{\mathrm{\ρ}}_{b,t}^{DA}{P}_{b,t}^{DA}-\underset{k=1}{\overset{K}{\Σ}}\underset{t=1}{\overset{T}{\Σ}}{x}_{k,t}^{DA}{r}_{k,t}^{DA}{\mathrm{DLC}}_{k,t}^{DA}-\underset{i=1}{\overset{N}{\Σ}}\underset{t=1}{\overset{T}{\Σ}}{\mathrm{\λ}}_{i,t}^{DA}{\mathrm{IL}}_{i,t}^{DA}\\ -\underset{t=1}{\overset{T}{\Σ}}\underset{i=1}{\overset{NDG}{\Σ}}\[a_i+b_i\·P_{i,t}^{DG}+c_i\·{\left(P_{i,t}^{DG}\right)}^2\]\}\end{array}$

In formula: C ^dAfor sale of electricity, company runs income a few days ago; Δ T is the time interval; T is dispatching cycle; for the sale of electricity electricity price of t period next day; for the electricity sales amount of t period next day; for the electricity market purchase electricity price of t period next day; for the electricity market power purchase electricity of t period next day; K is the group number of direct control overhead; for the whether controlled decision variable of t next day period kth group load, 1 represents control, and 0 represents not control; for the compensation that t next day period kth group is obtained by control overhead; for the load summate amount of the controlled load of t next day period kth group; N is the number of interruptible load kind; for the compensation that next day i-th, class interruptible load obtained at t period reduction plans; for next day i-th class interruptible load in the load summate amount of t period; NDG is the quantity of distributed power source in sale of electricity company; a _i, b _i, c _ibe respectively the zero degree of i-th distributed power source, once, secondary exerts oneself cost coefficient; for next day i-th distributed power source at the generated energy of t period.

Further, in the inventive method, described maximum control count constraint is:

$\underset{t=1}{\overset{T}{\Σ}}{x}_{k,t}^{DA}\≤N_k$

In formula: N _kfor the maximum permission of the direct control overhead of kth group controls number of times;

Described maximum continuous controllable period of time is constrained to:

$S_t^{off,k}\≤T_{\max }^{off,k}$

In formula: for kth group load is at the continuous controllable period of time of t period; represent maximum continuous controllable period of time;

Described minimum continuous operating time is constrained to:

$S_t^{on,k}\≥T_{min}^{on,k}$

In formula: for kth group load is in the continuous uncontrolled time of t period; for the minimum continuous operating time of kth group load;

Described interruptible load is constrained to:

${\mathrm{IL}}_{\min }^i\≤{\mathrm{IL}}_{i,t}^{DA}\≤{\mathrm{IL}}_{max}^i$

In formula: be respectively the upper and lower limit of the i-th class interruptible load user interruptible load;

Described distributed power source units limits is:

$P_i^{\min }\≤P_{i,t}^{DG}\≤P_i^{\max }$

In formula: be respectively the output power bound of i-th distributed power source;

Described distributed power source Climing constant is:

$P_{i,t+1}^{DG}-P_{i,t}^{DG}\≤{\mathrm{UP}}_i$

$P_{i,t}^{DG}-P_{i,t+1}^{DG}\≤{\mathrm{DN}}_i$

In formula: be i-th distributed power source exerting oneself when period t+1; UP _iit is the upwards climbing rate limit of i-th distributed power source; DN _iit is the downward creep speed restriction of i-th distributed power source.

Described Day-ahead electricity market power purchase is constrained to:

$P_{b,t}^{DA}\≤P_b^{max}$

In formula: for sale of electricity company is in the power purchase upper limit of Day-ahead electricity market;

Described active power distribution network power-balance is constrained to:

$P_{b,t}^{DA}-\underset{i=1}{\overset{N}{\Σ}}{\mathrm{IL}}_{i,t}^{DA}-\underset{k=1}{\overset{K}{\Σ}}{\mathrm{DLC}}_{k,t}^{DA}+{\mathrm{PDA}}_t^{RB}=P_{s.t}^{DA}$

In formula: for the payback load in the t period a few days ago.

Further, in the inventive method, the payback load in the described active power distribution network power-balance about intrafascicular period of t a few days ago obtained by following formula:

${\mathrm{PDA}}_t^{RB}=\underset{k=1}{\overset{K}{\Σ}}(0.6{\mathrm{DLC}}_{k,t-1}^{DA}+0.2{\mathrm{DLC}}_{k,t-2}^{DA}+0.1{\mathrm{DLC}}_{k,t-3}^{DA})$

In formula: for kth group load is in the spatial load forecasting amount of t-1 period; for kth group load is in the spatial load forecasting amount of t-2 period; for kth group load is in the spatial load forecasting amount of t-3 period.

Beneficial effect: compared with the prior art, the present invention has the following advantages:

In current sale of electricity company optimisation technique method, in sale of electricity company programming, just consider separately the effect of distributed power source and deferrable load, do not consider distributed power source and the deferrable load unification scheduling resource as sale of electricity company, also not in conjunction with both operation characteristics, by both unified Optimized Operations including sale of electricity company in, and technical scheme provided by the invention mainly relates to the Optimized Operation aspect of sale of electricity company to distributed power source and deferrable load.This technical scheme is under Power Market, interruptible load in deferrable load, directly control overhead and distributed power source unification are included in the Optimized Operation of sale of electricity company, to have complementary deferrable load and distributed power source United Dispatching, the method has higher economy than the independent scheduling of three.In addition, for load user, by carrying out certain compensation to deferrable load user, their enthusiasm can be given full play to; For sale of electricity company, by reasonable arrangement deferrable load at the start and stop of the electricity consumption distribution of next day and distributed power source, generated energy, effectively improve the power-balance of sale of electricity company, decrease the stand-by cost needed for sale of electricity company, be conducive to the security and stability of raising system.In electricity price peak period, the method reduces the power consumption of load by deferrable load and increases the generated energy of distributed power source, reduces the purchase of electricity of sale of electricity company in electricity price peak period from Day-ahead electricity market, thus effectively reduces the operating cost of sale of electricity company.

Accompanying drawing explanation

The method flow diagram that Fig. 1 provides for technical solution of the present invention.

Embodiment

In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with accompanying drawing, the present invention is in depth described in detail.

The sale of electricity company Optimization Scheduling a few days ago containing deferrable load and distributed power source of the present invention, comprises the steps:

Step 1) deferrable load in power distribution network is divided into direct control overhead, interruptible load two class according to part throttle characteristics;

Step 2) run income with sale of electricity company a few days ago and be Optimized Operation target to the maximum, with direct control overhead, interruptible load, distributed power source for Optimized Operation object, be constrained to constraint condition carry out Optimized Operation a few days ago with maximum control count constraint, maximum continuous controllable period of time constraint, the constraint of minimum continuous operating time, interruptible load constraint, the constraint of distributed power source units limits, distributed power source Climing constant, Day-ahead electricity market power purchase, active power distribution network power-balance.

Further, in the inventive method, described sale of electricity company runs the maximum Optimized Operation target of income a few days ago and is:

$\begin{array}{c}{C}^{DA}=\mathrm{\Δ}\{\underset{t=1}{\overset{T}{\Σ}}{\mathrm{\ρ}}_{s.t}^{DA}{P}_{s.t}^{DA}-\underset{t=1}{\overset{T}{\Σ}}{\mathrm{\ρ}}_{b,t}^{DA}{P}_{b,t}^{DA}-\underset{k=1}{\overset{K}{\Σ}}\underset{t=1}{\overset{T}{\Σ}}{x}_{k,t}^{DA}{r}_{k,t}^{DA}{\mathrm{DLC}}_{k,t}^{DA}-\underset{i=1}{\overset{N}{\Σ}}\underset{t=1}{\overset{T}{\Σ}}{\mathrm{\λ}}_{i,t}^{DA}{\mathrm{IL}}_{i,t}^{DA}\\ -\underset{t=1}{\overset{T}{\Σ}}\underset{i=1}{\overset{NDG}{\Σ}}\[a_i+b_i\·P_{i,t}^{DG}+c_i\·{\left(P_{i,t}^{DG}\right)}^2\]\}\end{array}$

In formula: C ^dAfor sale of electricity, company runs income a few days ago; Δ T is the time interval; T is dispatching cycle; for the sale of electricity electricity price of t period next day; for the electricity sales amount of t period next day; for the electricity market purchase electricity price of t period next day; for the electricity market power purchase electricity of t period next day; K is the group number of direct control overhead; for the whether controlled decision variable of t next day period kth group load, 1 represents control, and 0 represents not control; for the compensation that t next day period kth group is obtained by control overhead; for the load summate amount of the controlled load of t next day period kth group; N is the number of interruptible load kind; for the compensation that next day i-th, class interruptible load obtained at t period reduction plans; for next day i-th class interruptible load in the load summate amount of t period; NDG is the quantity of distributed power source in sale of electricity company; a _i, b _i, c _ibe respectively the zero degree of i-th distributed power source, once, secondary exerts oneself cost coefficient; for next day i-th distributed power source at the generated energy of t period.

Further, in the inventive method, described maximum control count constraint is:

$\underset{t=1}{\overset{T}{\Σ}}{x}_{k,t}^{DA}\≤N_k$

In formula: N _kfor the maximum permission of the direct control overhead of kth group controls number of times;

Described maximum continuous controllable period of time is constrained to:

$S_t^{off,k}\≤T_{\max }^{off,k}$

In formula: for kth group load is at the continuous controllable period of time of t period; represent maximum continuous controllable period of time;

Described minimum continuous operating time is constrained to:

$S_t^{on,k}\≥T_{\min }^{on,k}$

In formula: for kth group load is in the continuous uncontrolled time of t period; for the minimum continuous operating time of kth group load;

Described interruptible load is constrained to:

${\mathrm{IL}}_{\min }^i\≤{\mathrm{IL}}_{i,t}^{DA}\≤{\mathrm{IL}}_{max}^i$

In formula: be respectively the upper and lower limit of the i-th class interruptible load user interruptible load;

Described distributed power source units limits is:

$P_i^{\min }\≤P_{i,t}^{DG}\≤P_i^{\max }$

In formula: be respectively the output power bound of i-th distributed power source;

Described distributed power source Climing constant is:

$P_{i,t+1}^{DG}-P_{i,t}^{DG}\≤{\mathrm{UP}}_i$

$P_{i,t}^{DG}-P_{i,t+1}^{DG}\≤{\mathrm{DN}}_i$

In formula: be i-th distributed power source exerting oneself when period t+1; UP _iit is the upwards climbing rate limit of i-th distributed power source; DN _iit is the downward creep speed restriction of i-th distributed power source.

Described Day-ahead electricity market power purchase is constrained to:

$P_{b,t}^{DA}\≤P_b^{max}$

In formula: for sale of electricity company is in the power purchase upper limit of Day-ahead electricity market;

Described active power distribution network power-balance is constrained to:

$P_{b,t}^{DA}-\underset{i=1}{\overset{N}{\Σ}}{\mathrm{IL}}_{i,t}^{DA}-\underset{k=1}{\overset{K}{\Σ}}{\mathrm{DLC}}_{k,t}^{DA}+{\mathrm{PDA}}_t^{RB}=P_{s.t}^{DA}$

In formula: for the payback load in the t period a few days ago.

Further, in the inventive method, the payback load in the described active power distribution network power-balance about intrafascicular period of t a few days ago obtained by following formula:

${\mathrm{PDA}}_t^{RB}=\underset{k=1}{\overset{K}{\Σ}}(0.6{\mathrm{DLC}}_{k,t-1}^{DA}+0.2{\mathrm{DLC}}_{k,t-2}^{DA}+0.1{\mathrm{DLC}}_{k,t-3}^{DA})$

In formula: for kth group load is in the spatial load forecasting amount of t-1 period; for kth group load is in the spatial load forecasting amount of t-2 period; for kth group load is in the spatial load forecasting amount of t-3 period.

Above-described embodiment is only the preferred embodiment of the present invention; be noted that for those skilled in the art; under the premise without departing from the principles of the invention; some improvement and equivalent replacement can also be made; these improve the claims in the present invention and are equal to the technical scheme after replacing, and all fall into protection scope of the present invention.

Claims (4)

1. contain a sale of electricity company Optimization Scheduling a few days ago for deferrable load and distributed power source, it is characterized in that: the method comprises the following steps:

Step 1) deferrable load in power distribution network is divided into direct control overhead, interruptible load two class according to part throttle characteristics;

Step 2) run income with sale of electricity company a few days ago and be Optimized Operation target to the maximum, with direct control overhead, interruptible load, distributed power source for Optimized Operation object, be constrained to constraint condition carry out Optimized Operation a few days ago with maximum control count constraint, maximum continuous controllable period of time constraint, the constraint of minimum continuous operating time, interruptible load constraint, the constraint of distributed power source units limits, distributed power source Climing constant, Day-ahead electricity market power purchase, active power distribution network power-balance.

2. according to a kind of sale of electricity company Optimization Scheduling a few days ago containing deferrable load and distributed power source according to claim 1, it is characterized in that: described sale of electricity company runs the maximum Optimized Operation target of income a few days ago and is:

$\begin{array}{c}{C}^{DA}=\mathrm{\Δ}\{\underset{t=1}{\overset{T}{\Σ}}{\mathrm{\ρ}}_{s.t}^{DA}{P}_{s.t}^{DA}-\underset{t=1}{\overset{T}{\Σ}}{\mathrm{\ρ}}_{b,t}^{DA}{P}_{b,t}^{DA}-\underset{k=1}{\overset{K}{\Σ}}\underset{t=1}{\overset{T}{\Σ}}{x}_{k,t}^{DA}{r}_{k,t}^{DA}{\mathrm{DLC}}_{k,t}^{DA}-\underset{i=1}{\overset{N}{\Σ}}\underset{t=1}{\overset{T}{\Σ}}{\mathrm{\λ}}_{i,t}^{DA}{\mathrm{IL}}_{i,t}^{DA}\\ -\underset{t=1}{\overset{T}{\Σ}}\underset{i=1}{\overset{NDG}{\Σ}}\[a_i+b_i\·P_{i,t}^{DG}+c_i\·{\left(P_{i,t}^{DG}\right)}^2\]\}\end{array}$

In formula: C ^dAfor sale of electricity, company runs income a few days ago; Δ T is the time interval; T is dispatching cycle; for the sale of electricity electricity price of t period next day; for the electricity sales amount of t period next day; for the electricity market purchase electricity price of t period next day; for the electricity market power purchase electricity of t period next day; K is the group number of direct control overhead; for the whether controlled decision variable of t next day period kth group load, 1 represents control, and 0 represents not control; for the compensation that t next day period kth group is obtained by control overhead; for the load summate amount of the controlled load of t next day period kth group; N is the number of interruptible load kind; for the compensation that next day i-th, class interruptible load obtained at t period reduction plans; for next day i-th class interruptible load in the load summate amount of t period; NDG is the quantity of distributed power source in sale of electricity company; a _i, b _i, c _ibe respectively the zero degree of i-th distributed power source, once, secondary exerts oneself cost coefficient; for next day i-th distributed power source at the generated energy of t period.

3., according to the sale of electricity company Optimization Scheduling a few days ago containing deferrable load and distributed power source described in claim 1 or 2, it is characterized in that:

Described maximum control count constraint is:

$\underset{t=1}{\overset{T}{\Σ}}{x}_{k,t}^{DA}\≤N_k$

In formula: N _kfor the maximum permission of the direct control overhead of kth group controls number of times;

Described maximum continuous controllable period of time is constrained to:

$S_t^{off,k}\≤T_{\max }^{off,k}$

In formula: for kth group load is at the continuous controllable period of time of t period; represent maximum continuous controllable period of time;

Described minimum continuous operating time is constrained to:

$S_t^{on,k}\≥T_{min}^{on,k}$

In formula: for kth group load is in the continuous uncontrolled time of t period; for the minimum continuous operating time of kth group load;

Described interruptible load is constrained to:

${\mathrm{IL}}_{\min }^i\≤{\mathrm{IL}}_{i,t}^{DA}\≤{\mathrm{IL}}_{\max }^i$

In formula: be respectively the upper and lower limit of the i-th class interruptible load user interruptible load;

Described distributed power source units limits is:

$P_i^{\min }\≤P_{i,t}^{DG}\≤P_i^{\max }$

In formula: be respectively the output power bound of i-th distributed power source;

Described distributed power source Climing constant is:

$P_{i,t+1}^{DG}-P_{i,t}^{DG}\≤{\mathrm{UP}}_i$

$P_{i,t}^{DG}-P_{i,t+1}^{DG}\≤{\mathrm{DN}}_i$

In formula: be i-th distributed power source exerting oneself when period t+1; UP _iit is the upwards climbing rate limit of i-th distributed power source; DN _iit is the downward creep speed restriction of i-th distributed power source.

Described Day-ahead electricity market power purchase is constrained to:

$P_{b,t}^{DA}\≤P_b^{max}$

In formula: for sale of electricity company is in the power purchase upper limit of Day-ahead electricity market;

Described active power distribution network power-balance is constrained to:

$P_{b,t}^{DA}-\underset{i=1}{\overset{N}{\Σ}}{\mathrm{IL}}_{i,t}^{DA}-\underset{k=1}{\overset{K}{\Σ}}{\mathrm{DLC}}_{k,t}^{DA}+{\mathrm{PDA}}_t^{RB}=P_{s.t}^{DA}$

In formula: for the payback load in the t period a few days ago.

4., according to the sale of electricity company Optimization Scheduling a few days ago containing deferrable load and distributed power source according to claim 3, it is characterized in that:

Payback load in the described active power distribution network power-balance about intrafascicular period of t a few days ago obtained by following formula:

${\mathrm{PDA}}_t^{RB}=\underset{k=1}{\overset{K}{\Σ}}(0.6{\mathrm{DLC}}_{k,t-1}^{DA}+0.2{\mathrm{DLC}}_{k,t-2}^{DA}+0.1{\mathrm{DLC}}_{k,t-3}^{DA})$

In formula: for kth group load is in the spatial load forecasting amount of t-1 period; for kth group load is in the spatial load forecasting amount of t-2 period; for kth group load is in the spatial load forecasting amount of t-3 period.