CN103560534A - Method for optimizing mobile energy storage power station based on economic dispatch - Google Patents

Abstract

The invention discloses a method for optimizing a mobile energy storage power station based on economic dispatch. The battery capacity of the mobile energy storage power station can be rapidly determined, the situations that the mobile energy storage power station has peak cutting and valley filling functions, and meanwhile economic benefits are maximized are guaranteed, and investment cost is saved.

Description

The optimization method of a kind of mobile energy-accumulating power station based on economic dispatch

Technical field

The present invention relates to design and the manufacture of mobile energy-accumulating power station, particularly the optimization method of a kind of mobile energy-accumulating power station based on economic dispatch.

Background technology

Battery capacity and the charge-discharge magnification of different application scenarios and the different desired mobile energy-accumulating power station of control target are not identical.Generally speaking, solving power quality problem does not need too large stored energy capacitance, and peak load shifting and tracking electrical network power curve need larger stored energy capacitance.For the higher electrical network of intelligent degree, as wind, light, storing cogeneration system, if capacity ratio is suitable, can save a large amount of costs of investment.

Energy storage power determines by the actual output of renewable energy power generation and desired value difference, and battery energy storage capacity is generally definite by the level and smooth strategy of renewable energy source power and energy scheduling strategy.But prior art does not provide concrete grammar, to determine that battery capacity moves the economic benefit of energy-accumulating power station when what numerical value best.

For above-mentioned problem, provide rational optimization method, guaranteeing that when mobile energy-accumulating power station possesses peak load shifting function, realizing maximization of economic benefit is the problem that prior art need to solve.

Summary of the invention

Technical problem to be solved by this invention is, the optimization method of a kind of mobile energy-accumulating power station based on economic dispatch is provided, and determines that the concrete numerical value of battery capacity is guaranteeing to realize maximization of economic benefit when mobile energy-accumulating power station possesses peak load shifting function.

For achieving the above object, technical scheme of the present invention is that the optimization method of a kind of mobile energy-accumulating power station based on economic dispatch, is characterized in that: described optimization method determines that the battery storage capacity of mobile energy-accumulating power station is:

$\begin{array}{c}E=\frac{1}{{\mathrm{\η}}_{\mathrm{disch}\arg e}}{\∫}_0^{t_1}[P\left(t\right)-P_{\mathrm{ref}\_\max }]\mathrm{dt}\\ ={\mathrm{\η}}_{\mathrm{ch}\arg e}{\∫}_{t_2}^{24}[P_{\mathrm{ref}\_\min }-P\left(t\right)]\mathrm{dt}\end{array}$

ΔP=(P _max-P _min)-(P _{ref_max}-P _{ref_min})

P wherein _max, P _minfor peak, paddy load power; P (t) is electrical network daily load duration curve function; P _{ref_max}, P _{ref_min}for the peak after energy-storage system translation, paddy load power; E is energy-storage system configuration capacity, MWh; η _charge, η _dischargefor energy-storage system efficiency for charge-discharge; Δ P is that load peak-valley difference reduces value, MW.

In described optimization method, discharging and recharging number of times mobile energy-accumulating power station day is 1 time.

The optimization method of a kind of mobile energy-accumulating power station based on economic dispatch, owing to adopting above-mentioned method, determine fast the battery capacity of mobile energy-accumulating power station, guarantee to realize maximization of economic benefit when mobile energy-accumulating power station possesses peak load shifting function, save input cost.

Accompanying drawing explanation

Below in conjunction with the drawings and specific embodiments, the present invention is further detailed explanation;

Fig. 1 is network load low-valley interval receivability wind-powered electricity generation capacity curve figure;

Fig. 2 is that mobile energy-accumulating power station is realized load peak load shifting schematic diagram.

Embodiment

The power curve of generation of electricity by new energy and load curve do not mate the electricity generation grid-connecting that has greatly limited new forms of energy.Utilizing Large-scale Mobile energy-accumulating power station to load " peak load shifting ", realize the space-time translation of load, is the revolutionary means that improve safe operation of electric network and economy.On the one hand, can the relax peak regulation pressure of electrical network of peak load shifting, makes electrical network can discharge more pondage downwards, strengthens the ability of receiving wind-powered electricity generation; On the other hand, during load valley, electricity price is cheap, load peak electricity tariff is expensive, and the operational mode of " low storage is occurred frequently " can realize larger economic benefit; In addition the greenhouse gas that, mobile energy-accumulating power station replaces thermoelectricity peak regulation to reduce discharging have brought huge environmental benefit.The present invention be take wind energy turbine set energy-accumulating power station as example, and the various benefits that comprehensive " peak load shifting " brings, in conjunction with cost and the daily load curve of energy-accumulating power station, provide the optimization method of the mobile energy-accumulating power station battery capacity based on economic dispatch target.

As shown in Figure 1, for given daily load curve, meeting in its maximum, minimum value situation, taking into account Auxiliary System in Power Plant rate and power transmission network loss rate is determined generating set start-up mode, online generating set peak power output is:

$P_{g\_\max }=(1-{\mathrm{\δ}}_g-{\mathrm{\δ}}_{\mathrm{line}})(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{P}_{\mathrm{peaki}}+\underset{j=1}{\overset{m}{\mathrm{\Σ}}}{P}_{\mathrm{forcej}})+(1-{\mathrm{\δ}}_{\mathrm{line}})P_{\mathrm{line}\_\max }$

Online generating set minimum output power is:

$P_{g\_\min }=(1-{\mathrm{\δ}}_g-{\mathrm{\δ}}_{\mathrm{line}})(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{C}_{\mathrm{gi}}{P}_{\mathrm{peaki}}+\underset{j=1}{\overset{m}{\mathrm{\Σ}}}{P}_{\mathrm{forcej}})+(1-{\mathrm{\δ}}_{\mathrm{line}})P_{\mathrm{line}\_\min }$

In formula: P _{g_max}, P _{g_min}for online generating set is maximum, minimum generated output; P _peakiit is the online peak regulation unit rated output that comprises Hydropower Unit; P _forceifor not participating in peak regulation but normally forcing of operating unit exerted oneself; P _{line_max}, P _{line_min}for load peak, low-valley interval system interconnection power; δ _gfor Service Power in Thermal Power Plant rate; δ _linefor power transmission network loss rate; C _gifor peak regulation unit minimum technology power factor.

China Wind Power repository is main mainly with thermoelectricity peak regulation, should consider to leave certain reserve capacity with reply wind-powered electricity generation fluctuation when arranging unit start-up mode.The downward pondage leaving at network load low-valley interval thermoelectricity peak regulation unit is defined as the maximum receivability wind-powered electricity generation of low-valley interval electrical network capacity, and its computing formula can be expressed as:

P _wind=P _min-P _{g_min}

In formula: P _windfor the maximum receivability wind-powered electricity generation of low-valley interval electrical network capacity, MW; P _minfor electrical network low ebb load.

In the situation that electrical network day, start-up mode was given, because the duration of load peak, low ebb is often shorter, configuration certain scale moves energy-accumulating power station with the above-mentioned peak of translation, paddy load, can effectively reduce network load peak-valley difference.Suppose that energy-storage system charge and discharge power is enough large, day discharges and recharges 1 time, has following relation between institute's configuration capacity and the improvement level of load peak-valley difference:

$\begin{array}{c}E=\frac{1}{{\mathrm{\η}}_{\mathrm{disch}\arg e}}{\∫}_0^{t_1}[P\left(t\right)-P_{\mathrm{ref}\_\max }]\mathrm{dt}\\ ={\mathrm{\η}}_{\mathrm{ch}\arg e}{\∫}_{t_2}^{24}[P_{\mathrm{ref}\_\min }-P\left(t\right)]\mathrm{dt}\end{array}$

ΔP=(P _max-P _min)-(P _{ref_max}-P _{ref_min})

P wherein _max, P _minfor peak, paddy load power; P (t) is electrical network daily load duration curve function; P _{ref_max}, P _{ref_min}for the peak after energy-storage system translation, paddy load power; E is energy-storage system configuration capacity, MWh; η _charge, η _dischargefor energy-storage system efficiency for charge-discharge; Δ P is that load peak-valley difference reduces value, MW.Utilize after energy-storage system translation peak load, the wind-powered electricity generation receiving capacity that can improve under existing electrical network start-up mode is:

ΔP _wind=(P _{ref_min}-P _min)

Δ P in formula _windfor utilizing the wind-powered electricity generation that energy-storage system improves, receive capacity, MW.

In Fig. 2, curve is electrical network daily load duration curve.As seen from the figure, when network load peak-valley difference Δ P is large and load peak sustained periods of time (0-t ₁), low ebb sustained periods of time (t ₂-24) more in short-term, the energy-storage system that configures less capacity can obviously reduce load peak-valley difference, impels electrical network to save more multidirectional lower peak at low-valley interval and receives wind-powered electricity generation; Otherwise, when network load peak-valley difference Δ P is less and load peak sustained periods of time (0-t ₁), low ebb sustained periods of time (t ₂-24), when longer, the network load peak-valley difference that utilizes energy-storage system to reduce equivalent needs the more energy-storage system of multicapacity.

The present invention is above exemplarily described; obviously specific implementation of the present invention is not subject to the restrictions described above; as long as the various improvement that adopted technical solution of the present invention to carry out, or directly apply to other occasion without improvement, all within protection scope of the present invention.

Claims (2)

1. the optimization method of mobile energy-accumulating power station based on economic dispatch, is characterized in that: described optimization method determines that the battery storage capacity of mobile energy-accumulating power station is:

$\begin{array}{c}E=\frac{1}{{\mathrm{\η}}_{\mathrm{disch}\arg e}}{\∫}_0^{t_1}[P\left(t\right)-P_{\mathrm{ref}\_\max }]\mathrm{dt}\\ ={\mathrm{\η}}_{\mathrm{ch}\arg e}{\∫}_{t_2}^{24}[P_{\mathrm{ref}\_\min }-P\left(t\right)]\mathrm{dt}\end{array}$

ΔP=(P _max-P _min)-(P _{ref_max}-P _{ref_min})

P wherein _max, P _minfor peak, paddy load power; P (t) is electrical network daily load duration curve function; P _{ref_max}, P _{ref_min}for the peak after energy-storage system translation, paddy load power; E is energy-storage system configuration capacity, MWh; η _charge, η _dischargefor energy-storage system efficiency for charge-discharge; Δ P is that load peak-valley difference reduces value, MW.

2. the optimization method of a kind of mobile energy-accumulating power station according to claim 1 based on economic dispatch, is characterized in that: in described optimization method, discharging and recharging number of times mobile energy-accumulating power station day is 1 time.

Images